Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

February 1, 2024

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Deep Learning Continual LEArning Speech Based Age Predictive Performance Product Specific Position Information Bayesian Deep Learning
MobilityDL: A Review of Deep Learning From Trajectory Data
Anita Graser, Anahid Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
Deep Learning Narrative Review Handwritten Trajectory Trajectory Data Mobility Data Tracking Method Dense Point Trajectory
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
Jawad Hussain Kalwar, Sania Bhatti
Deep Learning Timely Survey Internet of Thing Traffic Classification IoT Traffic
Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data
Pieter Van Leemput, Johannes Keustermans, Wouter Mollemans
Deep Learning Raw Data Deep Learning Algorithm Detection Performance Experimental Validation Dental Disease Detection Intraoral Image
Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning
Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
Deep Learning Coronary Artery Disease Lesion Localization Lesion Classification
Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
Buo-Fu Chen, Boyo Chen, Chun-Min Hsiao, Hsu-Feng Teng, Cheng-Shang Lee, Hung-Chi Kuo
Deep Learning Upper Ocean Tropical Cyclone Extreme Value Tropical Cyclone Intensity

January 31, 2024

Capacity Constraint Analysis Using Object Detection for Smart Manufacturing
Hafiz Mughees Ahmad, Afshin Rahimi, Khizer Hayat
Deep Learning Convolutional Neural Network Object Detection Model Smart Manufacturing Capacity Constraint
Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning
Naresh Kumar, Seba Susan
Deep Learning Particle Swarm Optimization Efficient Hybrid Hybrid Model Epidemic Model Epidemiological Model Susceptible Infected
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning
Rohaifa Khaldi, Siham Tabik, Sergio Puertas-Ruiz, Julio Peñas de Giles, José Antonio Hódar Correa, Regino Zamora, Domingo Alcaraz Segura
Deep Learning Instance Segmentation Satellite Image Human Face Tree Specie
MelNet: A Real-Time Deep Learning Algorithm for Object Detection
Yashar Azadvatan, Murat Kurt
Deep Learning Pre Trained Model Supervised ImageNet Real Time KITTI Scene Flow
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques
Shreyank N Gowda, Yash Thakre, Shashank Narayana Gowda, Xiaobo Jin
Deep Learning Computer Vision Real World Comprehensive Survey Visual Quality Video Sequence Video Inpainting
Local Feature Matching Using Deep Learning: A Survey
Shibiao Xu, Shunpeng Chen, Rongtao Xu, Changwei Wang, Peng Lu, Li Guo
Deep Learning Timely Survey Medical Image Registration Joint Detection Local Feature Matching
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?
Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince
Deep Learning Magnetic Resonance Imaging New Era Raw Text Tissue Motion Strain Estimation
Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection
Thua Huynh Trong, Thanh Nguyen Hoang
Deep Learning Intrusion Detection Detection Model Two Stage Training Progressive Pruning Edge Computing Device

January 30, 2024

Solving Boltzmann Optimization Problems with Deep Learning
Fiona Knoll, John T. Daly, Jess J. Meyer
Deep Learning Computation Method Efficient Computation Ising Model Ising Machine
LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Rahul Shah, Soumadeep Saha, Purba Mukherjee, Utpal Garain, Supratik Pal
Deep Learning Financial Application Feature Distance Supernova Affected Particle
Multiple Yield Curve Modeling and Forecasting using Deep Learning
Ronald Richman, Salvatore Scognamiglio
Deep Learning Deep Learning Model State of the Art Forecasting Quantile Regression Strawberry Tabletop Yield Forecasting
Selection of gamma events from IACT images with deep learning methods
E. O. Gres, A. P. Kryukov, A. P. Demichev, J. J. Dubenskaya, S. P. Polyakov, A. A. Vlaskina, D. P. Zhurov
Deep Learning View Selection Gamma Ray Atmospheric Cherenkov Telescope TAIGA Experiment
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
Saqib Qamar, Abu Imran Baba, Stéphane Verger, Magnus Andersson
Deep Learning Segmentation Based Approach Microscopy Image New Characterization Tree Specie Cell Detection Short Fiber Vessel Structure
Progress in artificial intelligence applications based on the combination of self-driven sensors and deep learning
Weixiang Wan, Wenjian Sun, Qiang Zeng, Linying Pan, Jingyu Xu, Bo Liu
Deep Learning Much Progress New Combination AI Application Autonomous Control Human Body Motion

Deep Learning

Papers

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

MobilityDL: A Review of Deep Learning From Trajectory Data

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey

Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data

Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning

Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning

Capacity Constraint Analysis Using Object Detection for Smart Manufacturing

Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning

Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning

MelNet: A Real-Time Deep Learning Algorithm for Object Detection

Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques

Local Feature Matching Using Deep Learning: A Survey

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

Effective Multi-Stage Training Model For Edge Computing Devices In Intrusion Detection

Solving Boltzmann Optimization Problems with Deep Learning

LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications

Multiple Yield Curve Modeling and Forecasting using Deep Learning

Selection of gamma events from IACT images with deep learning methods

Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning

Progress in artificial intelligence applications based on the combination of self-driven sensors and deep learning